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A Rule Based Expert System for Iaq

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Degree
MS, University of Cincinnati, Engineering : Computer Science, .
Abstract
Indoor air quality (IAQ) refers to the quality of the air inside buildings as represented by concentrations of pollutants and thermal (temperature and relative humidity) conditions that affect the health, comfort, and performance of occupants. To ensure IAQ there is a need for systems that provide monitoring and diagnosing capabilities. Currently, tools for determining IAQ are based on a set of fixed rules and limited procedures only professionals can apply. Space occupants or owners usually are not able to apply the rules easily according to what they need in their spaces under given circumstances, nor are they able to adapt the existing rules forming their own rules for their own specific cases. This thesis presents a generic model for IAQ procedures. The model can be implementation in a computer-based IAQ system. The major features of this model are the capability to allow users to specify the problem, to identify key parameters for monitoring, detecting abnormalities, troubleshooting the detected problem, and suggesting actions for controlling the environment. The procedures used for each application, the customization of existing rules to specific cases, can be retained to establish new rules that will further become part of the knowledge base of a rule-based expert system framework. The implementation is demonstrated and two case studies are also presented.
Subject Headings
Computer Science
Keywords
Indoor Air Quality; Expert System
Advisor
Chia-Yung Han
Pages
84p.

Document number: ucin1115997020
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